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Cite the Following Article
Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning
Richard Liam Marchese Robinson, Haralambos Sarimveis, Philip Doganis, Xiaodong Jia, Marianna Kotzabasaki, Christiana Gousiadou, Stacey Lynn Harper and Terry Wilkins
Beilstein J. Nanotechnol. 2021, 12, 1297–1325.
https://doi.org/10.3762/bjnano.12.97
How to Cite
Robinson, R. L. M.; Sarimveis, H.; Doganis, P.; Jia, X.; Kotzabasaki, M.; Gousiadou, C.; Harper, S. L.; Wilkins, T. Beilstein J. Nanotechnol. 2021, 12, 1297–1325. doi:10.3762/bjnano.12.97
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- Xie, W.; Xiong, Z.; Wang, H.; Liu, X.; Cui, H.; Huang, Q.; Tang, Y. The nanosafety assessment of ENMs under a dermal exposure scenario: from key molecular events toin silicomodeling tools. Environmental Science: Nano 2024, 11, 708–738. doi:10.1039/d3en00585b
- Mu, L.; Yu, F.; Jia, Y.; Sun, S.; Li, X.; Zhang, X.; Hu, X. Machine Learning in Prediction of Nanotoxicology. Computational Methods in Engineering & the Sciences; Springer International Publishing, 2023; pp 497–517. doi:10.1007/978-3-031-20730-3_21
- Robinson, R. L. M.; Sarimveis, H.; Doganis, P.; Jia, X.; Kotzabasaki, M.; Gousiadou, C.; Harper, S. L.; Wilkins, T. A. Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning. Beilstein journal of nanotechnology 2021, 12, 1297–1325. doi:10.3762/bjnano.12.97
